Software Engineer, Machine Learning - Central Integrity

Meta; Greater London; On-site; GBP 120,000 - 170,000; Full time

Job summary

Meta is seeking talented engineers for its Central Integrity team to build scalable AI-powered systems that safeguard billions of users. You will work on cutting-edge NLP, ML, and AI safety tooling, collaborating with product, design, and operations to deliver robust, responsible AI solutions.

You will own major initiatives, mentor peers, and guide teams in implementing scalable, efficient systems while maintaining high ethical standards and risk controls across global platforms.

Qualifications

• Experience using data and analysis to explain technical problems and propose solutions.
• Bachelor's degree in Computer Science or related field or equivalent practical experience.
• Proven track record driving change within an organization and leading complex technical projects.
• Programming experience in a relevant language; knowledge of NLP techniques including text preprocessing, tokenization and sentiment analysis.
• Experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Experience implementing responsible, ethical AI practices (risk assessment, bias mitigation, quality reviews).
• Ongoing AI skill development (prompt/context engineering, agent orchestration) and staying current with AI technologies.
• Demonstrated ability to integrate AI tools to optimize workflows and deliver measurable impact.
• Masters or PhD in CS or related field.
• Understanding of information retrieval concepts (indexing, querying, ranking).
• Experience with data structures and algorithms, including graph theory and optimization techniques.

Responsibilities

• Collaborate with cross-functional teams to build innovative application experiences.
• Implement custom user interfaces using modern programming techniques and technologies.
• Analyze and optimize code for quality, efficiency, and performance; provide feedback during code reviews.
• Set direction for teams; lead major initiatives and mentor peers; onboard new members.
• Architect efficient and scalable systems for complex applications.
• Identify and resolve performance and scalability issues; reduce technical debt on large efforts.
• Work with a variety of coding languages and technologies.
• Establish ownership of components, features, or systems with end-to-end understanding.

Skills

Data analysis

NLP techniques

AI/ML fundamentals

Mentorship

Cross-functional collaboration

Prompt/context engineering

Agent orchestration

Information retrieval concepts

Education

Bachelor's degree in Computer Science or related field

Master's degree or PhD in Computer Science or related field

Tools

TensorFlow

PyTorch

Scikit-learn

Job description

About

Meta is seeking talented engineers to join our Central Integrity team which exists to keep billions of people safe on Meta's platforms. We design and deploy systems that detect and disrupt harm at an unprecedented global scale, making this one of the largest deployments of AI for positive real-world impact anywhere in the industry. Our work safeguards critical areas including child and youth safety, fraud and scams, identity and authenticity and more while actively building defenses against novel frontier threats, such as autonomous AI agents and automated risk vectors. This represents some of the most technically demanding and high-stakes engineering and product at Meta, driven by a deeply mission-focused team. You'll combine strong engineering fundamentals with cutting-edge AI to build effective, adaptable solutions that stay ahead of evolving integrity and safety risks. If you are driven by hard technical challenges and want your work to deliver immediate, real-world impact, this is where you belong.

Responsibilities

• Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
• Implement custom user interfaces using latest programming techniques and technologies
• Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews
• Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
• Architect efficient and scalable systems that drive complex applications
• Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt
• Work on a variety of coding languages and technologies
• Establish ownership of components, features, or systems with expert end-to-end understanding

Minimum Qualifications

• Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Demonstrated experience driving change within an organization and leading complex technical projects
• Programming experience in a relevant language Knowledge of NLP techniques, including text preprocessing, tokenization, and sentiment analysis
• Experience with frameworks like TensorFlow, PyTorch, or Scikit-learn
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Masters degree or PhD in Computer Science or a related technical field
• Understanding of information retrieval concepts, such as indexing, querying, and ranking
• Demonstrated experience with data structures and algorithms, including graph theory and optimization techniques